Seid Miad Zandavi - Young Researcher and Elite Club, Ramsar Branch, Islamic Azad University, Ramsar, Iran

The present article aims at proposing urban routing optimizationalgorithm. This algorithm operates based on wavelet transform andgenetic algorithm; in this technique we receive the variables proposedby driver such as difficulty degree and traffic and so on. Afterward, wederive edges risk by wavelet transform; finally we achieve multistageGenetic Algorithm for the shortest path. We show algorithm efficiencyindividually and in comparison to other proposed algorithms

Routing optimization, Adjustment parameter, Wavelet transform,Multistage Genetic Algorithm